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Comparison of correlations, variances, covariances, and regression weights with or without measurement error

Comparison of correlations, variances, covariances, and regression weights with or without... A maximum likelihood procedure for testing the equality of sets of variances, covariances, correlations, and regression weights between and/or within populations is demonstrated. The procedure is an application of K. G. Joreskog's general factor-analytic model for simultaneous factor analysis in several populations. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Psychological Bulletin American Psychological Association

Comparison of correlations, variances, covariances, and regression weights with or without measurement error

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Publisher
American Psychological Association
Copyright
Copyright © 1976 American Psychological Association
ISSN
0033-2909
eISSN
1939-1455
DOI
10.1037/0033-2909.83.6.1007
Publisher site
See Article on Publisher Site

Abstract

A maximum likelihood procedure for testing the equality of sets of variances, covariances, correlations, and regression weights between and/or within populations is demonstrated. The procedure is an application of K. G. Joreskog's general factor-analytic model for simultaneous factor analysis in several populations.

Journal

Psychological Bulletin – American Psychological Association

Published: Nov 1, 1976

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